# ANOVA - when homogeneity of variance is violated

My data was a repeated measurement (3-4 measuring times) with one fixed factor (4 doses) and nested (Please find an example below).

I would like to ran ANOVA but the assumption of homogeneity of variance was violated for some of the measuring times (e.g. Day1). Transformation of data did not fix the problem, what test could I use? Should I use Welch–Satterthwaite adjustment for F value, or use generalized mixed model or ran non-parametric test? I saw these three methods were use when Levene test is significant, or any other method would be better?

Thank you deeply for all the generous help!

ID   Location Dose  Day1    Day 3    Day 7
1     A       0.1    2.3     3.1      3.07
2     A       0.1    2.02    2.9      3.02
3     B       0.1    2.5     3.5      5.12
4     B       0.1    2.3     4.05     5.07
5     C       0.2    2.2     6.1      6.55
6     C       0.2    2.5     3.1      3.07
7     D       0.2    2.1     5.1      5.25
8     D       0.2    2.4     3.3      4.07